International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

A Review of Document Classification Techniques

Author : Harsimran Pal Kaur ¹ Kamaldeep Kaur ²

Date of Publication :7th June 2016

Abstract: Now-a-days, vast amount of data is generated daily on the web. Data on the web is in the form of e-journals, enewspapers, web pages etc. The most of the data is in the form of English language. So, different techniques are developed for management of English documents. But due to the development of regional languages the data in regional languages is also available in valuable amount. The vast amount of data causes problems in its management. So, Automatic classification of documents raises much more attention in few decades. Automatic classification is the task of assigning predefined category to the unlabelled documents. This gives the class to the document to which it actually belongs. Automatic classification frees the organizations to handle the large amount of documents manually and enhance the retrieval process. It can be concluded that number of classification techniques are available. But for different data length same technique gives different accuracy.

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